TY - BOOK ID - 699735 TI - Software Project Effort Estimation : Foundations and Best Practice Guidelines for Success AU - Trendowicz, Adam. AU - Jeffery, Ross. PY - 2014 SN - 3319036297 3319036289 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Computer software KW - Project management. KW - Development KW - Estimates. KW - Industrial project management KW - Management KW - Software, Computer KW - Computer systems KW - Software engineering. KW - Information Systems. KW - Management information systems. KW - Software Engineering. KW - Management of Computing and Information Systems. KW - Project Management. KW - Software Management. KW - Computer-based information systems KW - EIS (Information systems) KW - Executive information systems KW - MIS (Information systems) KW - Sociotechnical systems KW - Information resources management KW - Computer software engineering KW - Engineering KW - Communication systems KW - Computer science. KW - Informatics KW - Science UR - https://www.unicat.be/uniCat?func=search&query=sysid:699735 AB - Software effort estimation is one of the oldest and most important problems in software project management, and thus today there are a large number of models, each with its own unique strengths and weaknesses in general, and even more importantly, in relation to the environment and context in which it is to be applied. Trendowicz and Jeffery present a comprehensive look at the principles of software effort estimation and support software practitioners in systematically selecting and applying the most suitable effort estimation approach. Their book not only presents what approach to take and how to apply and improve it, but also explains why certain approaches should be used in specific project situations. Moreover, it explains popular estimation methods, summarizes estimation best-practices, and provides guidelines for continuously improving estimation capability. Additionally, the book offers invaluable insights into project management in general, discussing issues including project trade-offs, risk assessment, and organizational learning. Overall, the authors deliver an essential reference work for software practitioners responsible for software effort estimation and planning in their daily work and who want to improve their estimation skills. At the same time, for lecturers and students the book can serve as the basis of a course in software processes, software estimation, or project management. ER -